Triple
T21419451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Night on the Town |
E528395
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object | George Marinelli |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: George Marinelli | Statement: [A Night on the Town, hasContributor, George Marinelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Marinelli Context triple: [A Night on the Town, hasContributor, George Marinelli]
-
A.
Anthony Marinelli
Anthony Marinelli is an American composer and musician best known for his film scores and extensive work in Hollywood soundtracks.
-
B.
Charles Castaldi
Charles Castaldi is a film producer best known for his work on the music documentary "Soul Men."
-
C.
Lou Pardini
chosen
Lou Pardini is an American singer, songwriter, and keyboardist best known for his work in jazz, R&B, and rock, including a notable tenure with the band Chicago.
-
D.
Edward Ardizzone
Edward Ardizzone was a British artist and writer best known for his distinctive, gently humorous illustrations in mid-20th-century children's books.
-
E.
Arthur Gallucci
Arthur Gallucci was the husband of Hungarian-American socialite and actress Magda Gabor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b2ccddc08190b4f66fa6ccda41e2 |
completed | April 22, 2026, 11:36 a.m. |
Created at: April 16, 2026, 5:47 p.m.